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NER

The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...

Papers

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Showing 81–90 of 1729 papers

TitleStatusHype
On Fusing ChatGPT and Ensemble Learning in Discon-tinuous Named Entity Recognition in Health Corpora—0
Distilling Large Language Models for Efficient Clinical Information Extraction—0
Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering—0
The Role of Natural Language Processing Tasks in Automatic Literary Character Network ConstructionCode0
CRENER: A Character Relation Enhanced Chinese NER Model—0
LLMs-in-the-Loop Part 2: Expert Small AI Models for Anonymization and De-identification of PHI Across Multiple Languages—0
Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training DataCode1
Training LayoutLM from Scratch for Efficient Named-Entity Recognition in the Insurance Domain—0
OpenNER 1.0: Standardized Open-Access Named Entity Recognition Datasets in 50+ Languages—0
AI-assisted Knowledge Discovery in Biomedical Literature to Support Decision-making in Precision Oncology—0
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